ImageNetShuffle features are video-level features generated by [1]} using a Google inception net (GoogLeNet [2]}).
CNN features are extracted from the pool5 layer of GoogLeNet [2]} at a two frames per second rate.
Frame-level CNN features are mean pooled to construct a representation for the whole video. Mean pooling is followed by L1-normalisation.
